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The Law of Complements P(A) = 1 – P(AC) Or P(AC) = 1 – P(A)

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Presentation on theme: "The Law of Complements P(A) = 1 – P(AC) Or P(AC) = 1 – P(A)"— Presentation transcript:

1 The Law of Complements P(A) = 1 – P(AC) Or P(AC) = 1 – P(A)

2 1 This is just like the dice problem from earlier.
What is the probability of rolling a number greater than 4? Since P(2) + P(3) + P(4) + P(5) + P(6) + P(7) + P(8) + P(9) + P(10) + P(11) + P(12) = 1 P(greater than 4) = 1 – P(4 or less) = 1 – 6/36 = 1 – 1/6 = 5/6 Law of Complements

3 A certain blood disease appears in 1. 5% of the population
A certain blood disease appears in 1.5% of the population. When testing for this disease, to save time and resources, a lab mixes 5 blood samples into one and tests the one sample at once. P(one person testing positive) = 0.015 P(one person testing negative) = 0.985 Negative result means: Here are the possibilities: Positive result means: At least one of them is infected so all five have to be retested individually All five people are not infected Sample Space + + + + +

4 Find the probability that a given combination of five samples will produce a positive result.
There are many different ways to get a positive result so we would have to add all of the probabilities of each combination of negatives and positives. But there is only one way to get a negative result… In order to get a positive result, we only need one positive but there could be more. Negative result means: Positive result means: At least one of them is infected so all five have to be retested individually All five people are not infected Sample Space There are actually 31 different ways for at least one positive to appear.

5 So instead of adding all of the positive combinations, we can just find the probability of the one negative combination and… Subtract it from 1 Negative result means: Positive result means: At least one of them is infected so all five have to be retested individually All five people are not infected Sample Space P(positive result) = 1 – P(negative result) P(positive result) = 1 – (0.985)5 = 0.0728


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